Author
Abstract
Chile's population is rapidly aging, with a notable increase in the older population over recent decades. The growth in the proportion of older individuals has substantial implications for physical and cognitive health, healthcare expenditures and policies, given the escalating burden of age-related health conditions. Therefore, it is critical to have a deeper understanding of factors that predict healthy aging. This study explores the relationships between employment trajectories and later-life cognitive function among Chilean adults. Using data from a sample of Chilean adults aged 60–79, this study examines employment histories spanning 36 years (1980–2015) and their associations with cognitive outcomes assessed in 2019. Applying Group-Based Trajectory Modeling (GBTM), I identify distinct employment trajectories for women and men, which I then link to cognitive function through linear regressions. Findings suggest that individuals with more sustained labor-force participation exhibit better cognitive outcomes, particularly in memory and executive function domains, with notable differences by gender. Specifically, women entering the labor-force later in life display better cognitive performance compared to women with low participation in the labor-force throughout adulthood, while men with extended employment histories show positive associations with cognition regardless of whether they exit the labor-force around retirement age or not. These findings highlight the potential cognitive advantages of prolonged employment, contributing to research on social determinants of cognition in later life. This study offers a critical input for labor, health and old-age pension policies, in an aging population such as in Chile.
Suggested Citation
Delaporte, Magdalena, 2025.
"The predictive power of employment trajectories on cognition of older adults: Evidence from Chile,"
Social Science & Medicine, Elsevier, vol. 380(C).
Handle:
RePEc:eee:socmed:v:380:y:2025:i:c:s0277953625006124
DOI: 10.1016/j.socscimed.2025.118281
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:380:y:2025:i:c:s0277953625006124. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.